Design of an efficient Communication Architecture for Cyber-Physical Production Systems

Kaestner, Florian; Kuschnerus, Dirk; Spiegel, Christoph; Janßen, Benedikt; Huebner, M.

doi:10.1109/coase.2018.8560563

Cited by 9 publications

(5 citation statements)

References 1 publication

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“…As indicated in [27], existing wireless solutions often cannot offer sufficient performance with respect to real-time and reliability requirements. Furthermore, energy concerns of wireless safety proposals [31]- [33] as well as the joint transmission of safety and non-safety data are significant. As a result, the extension of IOLW as a wireless safety solution will be presented here.…”

Section: Applications For Iolw Safetymentioning

confidence: 99%

Safety Architecture Proposal for Low-Latency Sensor/Actuator Networks using IO-Link Wireless

2022

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In the field of production automation, IO-Link Wireless (IOLW) offers energy-efficient and cost-effective solutions for networking wireless sensors and actuators close to the machines on the industrial shop-floor. In this paper, a concept is presented to enhance IOLW with security-for-safety and safety features in order to make safety critical systems in industrial environments with performance characteristics dedicated to demanding applications feasible. As data security is of paramount importance, security mechanisms already implemented in other wireless protocols are investigated and security-for-safety mechanisms for IOLW are introduced. Potential cryptographic algorithms are evaluated for IOLW with respect to energy consumption and timing. Taking performance parameters into account, which are crucial for industrial manufacturing processes, a safety protocol data unit (SPDU) is described and evaluated for different payload length and cycle times. Finally, an outlook towards the implementation of a demonstrator setup completes this work.

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Section: Applications For Iolw Safetymentioning

confidence: 99%

Safety Architecture Proposal for Low-Latency Sensor/Actuator Networks using IO-Link Wireless

2022

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“…For a holistic process-analytical approach and such decision support systems, the semantic level (context information brought together with sensor data) must be considered beyond the pure interface definition (syntax, such as data acquisition, data connectivity, and data integrity). Efficient communication with all the components in the system is thus key and will require novel architectures [8].…”

Section: Challenges Of Chemical Information and Process Modelsmentioning

confidence: 99%

Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy Using a Novel Data Augmentation Method

Fricke

Brandalero

Liehr

et al. 2022

IEEE Trans. Emerg. Topics Comput.

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Mass Spectrometry (MS) and Nuclear Magnetic Resonance Spectroscopy (NMR) are valuable analytical and quality control methods for most industrial chemical processes as they provide information on the concentrations of individual compounds and by-products. These processes are traditionally carried out manually and by a specialist, which takes a substantial amount of time and prevents their utilization for real-time closed-loop process control. This paper presents recent advances from two projects that use Artificial Neural Networks (ANNs) to address the challenges of automation and performance-efficient realizations of MS and NMR. In the first part, a complete toolchain has been realized to develop simulated spectra and train ANNs to identify compounds in MS. In the second part, a limited number of experimental NMR spectra have been augmented by simulated spectra, to train an ANN with better prediction performance and speed than state-of-the-art analysis. These results suggest that, in the context of the digital transformation of the process industry, we are now on the threshold of a strongly simplified use of MS and MRS and the accompanying data evaluation by machine-supported procedures, and can utilize both methods much wider for reaction and process monitoring or quality control.

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“…The authors of [6,7] note that for industrial applicability, cyber-physical production systems must meet stringent real-time operating requirements. In doing so, they must provide cost-effectiveness and user-friendliness, using the principles of the Human-Machine Interface (HMI).…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of an architectural-logical model to automate the management of the process of creating complex cyber-physical industrial systems

Nevliudov

Yevsieiev

Maksymova

et al. 2020

EEJET

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Modern highly technological production puts forward new requirements and approaches to the implementation of the Industry 4.0 concept. To achieve this, it is necessary to develop a cyber-physical production system that would make it possible to fully take into consideration all the factors of the actual production system. All solutions must pursue the global goal of making the best use of production time and resources, as well as meet the "Lean Production" concept. Existing ISO-95, 5C, and 8C cyber-physical production systems (CPPS) reference architectures cannot provide clearly expressed systematization and detailing. Such systems are a set of general recommendations that show the interaction processes among the physical and cyber-components of CPPS. This paper reports a new approach to the systemic representation of the processes for managing the development of complex cyber-physical production systems in the face of today's threats. We have suggested a systemic representation of automating the process of managing the development of complex CPPS. Modern threats to the cyber-physical and information and communication systems (ICS) have been considered, which underlie CPPS. An architectural-logical model, as well as methods for automating the CPPS development process management, have been developed. This could help build a logical relationship from the initial "target" stage to the process of obtaining "management algorithms" at each level and stage of CPPS development as a symbiosis of physical and cyber-components. The devised CPPS development process management model provides an opportunity to propose a group of mathematical models and methods that logically link all development stages into a single "rigid" hierarchical sequence. This makes it possible to build a single information space with a set of complex CPPS development methodology. The proposed solutions could enable the development of an automated system to manage the process of the development of complex CPPS

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Design of an efficient Communication Architecture for Cyber-Physical Production Systems

Cited by 9 publications

References 1 publication

Safety Architecture Proposal for Low-Latency Sensor/Actuator Networks using IO-Link Wireless

Safety Architecture Proposal for Low-Latency Sensor/Actuator Networks using IO-Link Wireless

Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy Using a Novel Data Augmentation Method

Development of an architectural-logical model to automate the management of the process of creating complex cyber-physical industrial systems

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